OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Big Data Scientific Workflows in the Cloud: Challenges and Future Prospects
Samiya Khan, Syed Arshad Ali, Nabeela Hasan, et al.
Studies in big data (2018), pp. 1-28
Closed Access | Times Cited: 17

Showing 17 citing articles:

Machine Learning for IoT Systems
Ahmed Khattab, Nouran Youssry
Springer eBooks (2020), pp. 105-127
Closed Access | Times Cited: 28

A Study of Efficient Energy Management Techniques for Cloud Computing Environment
Syed Arshad Ali, Mohammad Affan, Mansaf Alam
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2019), pp. 13-18
Open Access | Times Cited: 27

Leveraging Deep Learning for Designing Healthcare Analytics Heuristic for Diagnostics
Sarah Shafqat, Maryyam Fayyaz, Hasan Ali Khattak, et al.
Neural Processing Letters (2021) Vol. 55, Iss. 1, pp. 53-79
Open Access | Times Cited: 19

Wearable Internet of Things for Personalized Healthcare: Study of Trends and Latent Research
Samiya Khan, Mansaf Alam
Studies in computational intelligence (2021), pp. 43-60
Open Access | Times Cited: 16

Optimization-Based Data Science for an IoT Service Applicable in Smart Cities
Vinit Juneja, Sonakshi Singh, Vipin Jain, et al.
Advances in data mining and database management book series (2023), pp. 300-321
Closed Access | Times Cited: 6

Resource Management Techniques for Cloud-Based IoT Environment
Syed Arshad Ali, Manzoor Ansari, Mansaf Alam
Springer eBooks (2020), pp. 63-87
Closed Access | Times Cited: 17

On the building of efficient self-adaptable health data science services by using dynamic patterns
Genaro Sánchez‐Gallegos, Dante D. Sánchez‐Gallegos, José Luis González-Compean, et al.
Future Generation Computer Systems (2023) Vol. 145, pp. 478-495
Closed Access | Times Cited: 5

Internet of things (IoT) fusion with cloud computing: current research and future direction
Manzoor Ansari, Syed Arshad, Mansaf Alam
International Journal of Advanced Technology and Engineering Exploration (2022) Vol. 9, Iss. 97
Open Access | Times Cited: 7

IoT Application for Smart Cities Data Storage and Processing Based on Triangulation Method
Muzafer Saračević, Šemsudin Plojović, Senad Bušatlić
Springer eBooks (2020), pp. 317-334
Closed Access | Times Cited: 7

Unsupervised machine learning framework for early machine failure detection in an industry
Nabeela Hasan, Kiran Chaudhary, Mansaf Alam
Journal of Discrete Mathematical Sciences and Cryptography (2021) Vol. 24, Iss. 5, pp. 1497-1508
Closed Access | Times Cited: 5

Envisaging Industrial Perspective Demand Response Using Machine Learning
Nabeela Hasan, Mansaf Alam
Lecture notes on data engineering and communications technologies (2022), pp. 331-342
Closed Access | Times Cited: 2

An Efficient Approach towards Enhancing the Performance of m-Health Using Sensor Networks and Cloud Technologies
Kamta Nath Mishra
Springer eBooks (2020), pp. 491-513
Closed Access | Times Cited: 2

Efficient Workflow for Social Big Data Processing
Amit K. Jadiya, Ramesh Chand Thakur
SSRN Electronic Journal (2019)
Closed Access | Times Cited: 1

Enhancement of Cloud Performance using the Clustering Method of Scientific Workflow Task
Bhaludra R Nadh Singh, Kandikatla Raina, Thanmayee Janapareddy, et al.
(2023), pp. 1-8
Closed Access

A Synergistic Approach for Internet of Things and Cloud Integration: Current Research and Future Direction.
Manzoor Ansari, Syed Arshad Ali, Mansaf Alam
arXiv (Cornell University) (2019)
Closed Access

Virtual Machine based Hybrid Auto-Scaling for Large Scale Scientific Workflows in Cloud Computing
K. Vinay, S. M. Dilip Kumar
2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (2019), pp. 526-530
Closed Access

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